Map** the landscape of artificial intelligence applications against COVID-19

J Bullock, A Luccioni, KH Pham, CSN Lam… - Journal of Artificial …, 2020 - jair.org
COVID-19, the disease caused by the SARS-CoV-2 virus, has been declared a pandemic by
the World Health Organization, which has reported over 18 million confirmed cases as of …

Comprehensive survey of using machine learning in the COVID-19 pandemic

N El-Rashidy, S Abdelrazik, T Abuhmed, E Amer, F Ali… - Diagnostics, 2021 - mdpi.com
Since December 2019, the global health population has faced the rapid spreading of
coronavirus disease (COVID-19). With the incremental acceleration of the number of …

Artificial intelligence in the battle against coronavirus (COVID-19): a survey and future research directions

TT Nguyen, QVH Nguyen, DT Nguyen, S Yang… - ar** review
Y Guo, Y Zhang, T Lyu, M Prosperi… - Journal of the …, 2021 - academic.oup.com
Objective To summarize how artificial intelligence (AI) is being applied in COVID-19
research and determine whether these AI applications integrated heterogenous data from …

Heterogeneous temporal graph transformer: An intelligent system for evolving android malware detection

Y Fan, M Ju, S Hou, Y Ye, W Wan, K Wang… - Proceedings of the 27th …, 2021 - dl.acm.org
The explosive growth and increasing sophistication of Android malware call for new
defensive techniques to protect mobile users against novel threats. To address this …

Hypergraph Contrastive Learning for Drug Trafficking Community Detection

T Ma, Y Qian, C Zhang, Y Ye - 2023 IEEE International …, 2023 - ieeexplore.ieee.org
In recent decades, due to the lucrative profits, the crime of drug trafficking has evolved with
modern technologies. Social media, as one of the popular online platforms, have become …

WDCIP: spatio-temporal AI-driven disease control intelligent platform for combating COVID-19 pandemic

S Wang, X Zhao, J Qiu, H Wang… - Geo-spatial Information …, 2024 - Taylor & Francis
The outbreak and subsequent recurring waves of COVID− 19 pose threats on the
emergency management and people's daily life, while the large-scale spatio-temporal …

[PDF][PDF] Adapting meta knowledge with heterogeneous information network for covid-19 themed malicious repository detection

Y Qian, Y Zhang, Y Ye, C Zhang - International Joint Conference on …, 2021 - par.nsf.gov
As cyberattacks caused by malware have proliferated during the pandemic, building an
automatic system to detect COVID-19 themed malware in social coding platforms is in urgent …

dstyle-gan: Generative adversarial network based on writing and photography styles for drug identification in darknet markets

Y Zhang, Y Qian, Y Fan, Y Ye, X Li, Q **ong… - Proceedings of the 36th …, 2020 - dl.acm.org
Despite the persistent effort by law enforcement, illicit drug trafficking in darknet markets has
shown great resilience with new markets rapidly appearing after old ones being shut down …